ArticleGenetics2011
Fitness landscapes: an alternative theory for the dominance of mutation.
Article in Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.
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Who cites it
91 citing papers in PubMed.
- Allele frequencies at recessive disease genes are mainly determined by pleiotropic effects in heterozygotes.Genetics · 2026Article
- Deviations from genetic additivity driven by rare variants at biobank scale.Nature communications · 2026Article
- Overdominance for fitness: a genomic comparison between empirical and simulated data with Drosophila melanogaster.Genetics · 2026Article
- A century of theories of balancing selection.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Phenotypic dominance emerges from activity fitness functions and molecular interactions.Genetics · 2026Article
- How environment and genetic architecture of unreduced gametes shape the establishment of autopolyploids.Heredity · 2026Article
- Article
- Estimating the additive genetic variance for relative fitness from changes in allele frequency.Genetics · 2026Article
- A gene-based model of fitness and its implications for genetic variation: genetic and inbreeding loads.Genetics · 2025Article
- HJ Muller and the Relationship Between Sex Chromosome Degeneration and the Evolution of Dosage Compensation.Genome biology and evolution · 2025Review
- Effects of inbreeding on balancing selection: insights from Fisher's geometric model.Genetics · 2025Article
- A Balanced Inversion Polymorphism Exhibits a Dominance Reversal at the Gene Expression Level that Depends on Developmental Context.Molecular biology and evolution · 2025Article
- An Extension of Muller's Sheltering Hypothesis for the Evolution of Sex Chromosome Gene Content.Molecular biology and evolution · 2025Article
- A gene-based model of fitness and its implications for genetic variation: Genetic and inbreeding loads.bioRxiv : the preprint server for biology · 2025Article
- Neanderthal introgressed ancestry reveals human genomic regions enriched with recessive deleterious mutations.bioRxiv : the preprint server for biology · 2025Article
- Asymmetric Dimethylaminohydrolase Gene Polymorphisms Associated with Preeclampsia Comorbid with HIV Infection in Pregnant Women of African Ancestry.International journal of molecular sciences · 2025Article
- Hill-Robertson interference may bias the inference of fitness effects of new mutations in highly selfing species.Evolution; international journal of organic evolution · 2025Article
- Estimation of Inbreeding Depression From Overdominant Loci Using Molecular Markers.Evolutionary applications · 2025Article
- The genetic architecture of polygenic local adaptation and its role in shaping barriers to gene flow.Genetics · 2024Article
- Reconciling theories of dominance with the relative rates of adaptive substitution on sex chromosomes and autosomes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
31 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deleterious mutations tend to be recessive. Several theories, notably those of Fisher (based on selection) and Wright (based on metabolism), have been put forward to explain this pattern. Despite a long-lasting debate, the matter remains unresolved. This debate has focused on the average dominance of mutations. However, we also know very little about the distribution of dominance coefficients among mutations, and about its variation across environments. In this article we present a new approach to predicting this distribution. Our approach is based on a phenotypic fitness landscape model. First, we show that under a very broad range of conditions (and environments), the average dominance of mutation of small effects should be approximately one-quarter as long as adaptation of organisms to their environment can be well described by stabilizing selection on an arbitrary set of phenotypic traits. Second, the theory allows predicting the whole distribution of dominance coefficients among mutants. Because it provides quantitative rather than qualitative predictions, this theory can be directly compared to data. We found that its prediction on mean dominance (average dominance close to 0.25) agreed well with the data, based on a meta-analysis of dominance data for mildly deleterious mutations. However, a simple landscape model does not account for the dominance of mutations of large effects and we provide possible extension of the theory for this class of mutations. Because dominance is a central parameter for evolutionary theory, and because these predictions are quantitative, they set the stage for a wide range of applications and further empirical tests.
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